ai-system-design-guide

Skill by ara.so — Design Skills collection.

What This Project Does

The ai-system-design-guide is a living, continuously updated reference for building production AI systems. It covers:

110+ interview questions with staff-level answers and frameworks
RAG architectures: chunking, vector databases, reranking, contextual retrieval, ColBERT
Model selection: Claude Opus 4.7, GPT-5.5, Gemini 3.1 Pro, DeepSeek V4 Pro, Llama 4, and more (May 2026)
Agentic systems: MCP 2.0, A2A protocols, tool-use, computer agents (OpenClaw)
Production patterns: multi-tenant isolation, eval pipelines, LLMOps, security
Real case studies: 20+ production architectures with diagrams and tradeoffs

This is NOT a tutorial for ML basics—it's a reference for engineers building production AI systems and preparing for staff+ interviews.